Dear all,
The following new JCDL workshop might be of interest to you:
1st BESIDES: Beyond Search Engines-Intelligent Knowledge Discovery From Scholarly Publications WorkshopThe
workshop will be conducted in a *virtual* format to ensure maximum participation in online mode.
Submission deadline: extended to * November 14*, 2025
Workshop site :
https://besides-workshop.github.io/Co-located with JCDL 2025*
https://2025.jcdl.org/Virtual 15-19 December 2026
Important DatesPaper Submission- November 14, 2025 (AOE)
Notification – November 28, 2025 (AOE)
Camera-ready version – December 05, 2025 (AOE)
Workshop Date – December 15 or 19, 2025 (Virtual)
Managing and utilizing the rapidly expanding volume of scholarly publications has become increasingly complex, as traditional digital systems often fall short in providing comprehensive insights into scientific texts. Recent advances in Generative Artificial Intelligence (GAI) and Large Language Models (LLMs) enable automated analysis, classification, and summarization of scientific literature, revealing patterns and knowledge that were previously difficult to access. This workshop brings together experts in computational linguistics, machine learning, text mining, information retrieval, digital libraries, and scientometrics to address these challenges and explore innovative solutions. We invite submissions presenting novel approaches, datasets, or tools for knowledge discovery in scholarly publications, as well as studies focusing on reproducibility, research integrity, inclusivity, and the societal impact of scholarly communication. The goal is to foster collaboration and advance methods that enhance the accessibility, understanding, and application of scientific knowledge. We therefore propose BESIDES 2025: Beyond Search Engines – Intelligent Knowledge Discovery from Scholarly Publications, a workshop dedicated to exploring new frontiers in information retrieval and bibliometrics. The workshop is planned to be held on 15-19 December 2025 at JCDL 2025 (Virtual Event).
In this workshop, we aim to bring together a multidisciplinary, diverse team of researchers from information retrieval, NLP, and LLM. We welcome research contributions related to the following (but not limited to) topics:- Large Language Models (LLMs) for categorizing scholarly publications
- Representation learning and language modeling
- Information extraction and NER
- Document understanding
- Summarization and generation
- Use of Knowledge Graph in organizing scholarly database
- Question-answering
- Discourse modeling/argumentation mining
- Network analysis
- Bibliometrics, scientometrics, and altmetrics
- Reproducibility and research integrity, including new challenges posed by generative AI
- Peer review tools, principles, and technology
- Metadata and indexing
- Inclusion of datasets and computational resources
- Research infrastructures and digital libraries
- Increasing the representation in scholarly work of disadvantaged populations
- LLM-based interfaces to consume/produce scholarly documents
- Impact of scholarly communication on popular discourse
- Use of scholarly publication in spreading false information
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